Pandey, Gaurav

Educational Background

Ph.D., Electrical Engineering: Systems, University of Michigan, Ann Arbor, USA – 2013
M.S., Electrical Engineering: Systems, University of Michigan, Ann Arbor, USA - 2010
B.Tech., Electrical Engineering, Indian Institute of Technology (IIT), Roorkee, India - 2006

- Perception for autonomous vehicles and autonomous systems
- Reinforcement learning for multiple agent motion prediction.
- Sensor data fusion
- Mapping and Localization

Elected to the grade of Senior Member by the Officers and Board of Directors of the IEEE in recognition of professional standing - 2020
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) travel grant - 2012
Association for the Advancement of Artificial Intelligence (AAAI) student scholarship for conference travel - 2012
Best presentation award in Graduate Annual Conference (GAC), Michigan State University - 2012
IEEE International Conference on Robotics and Automation (ICRA) travel fellowship - 2011

Z. Yang, R. Zhang, G. Pandey, N. Masoud, H.X. Liu, “A Hierarchical Vehicle Behavior Prediction Framework With Traffic Signals and Interactive Agents,” IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3275072, May 24, 2023
A.P. Kuruvila, X. Meng, S. Kundu, G. Pandey, K. Basu, “Explainable Ma- chine Learning for Intrusion Detection via Hardware Performance Counters,” IEEE Transactions on Computer- Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2022.3149745, February 2022
P. Chakravarty, T. Roussel, G. Pandey, T. Tuytelaars, “Can We Localize an Autonomous Vehicle From a Single Image? Deep-Geometric Six Degree-of- Freedom Localization in Topo- Metric Maps,” ASME Journal of Autonomous Vehicles and Systems, 1(3): 031004, July 2021
J. Castorena, G. Puskorious, G. Pandey, “Motion Guided LiDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles,” Springer, Journal of Intelligent & Robotic Systems (JIRS), 100:3, 1129-1138, December 2020
S. Agarwal, A. Vora, G. Pandey, W. Williams, H. Kourous, J. McBride, “Ford Multi-AV Seasonal Dataset”, International Journal of Robotics Research (IJRR), 39:12, 1367-1376, October 2020